RollsBean commented on a change in pull request #16478:
URL: https://github.com/apache/flink/pull/16478#discussion_r669369962
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File path: docs/content.zh/docs/concepts/stateful-stream-processing.md
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@@ -24,342 +24,227 @@ under the License.
# 有状态流处理
-## What is State?
+## 什么是状态？
-While many operations in a dataflow simply look at one individual *event at a
-time* (for example an event parser), some operations remember information
-across multiple events (for example window operators). These operations are
-called **stateful**.
+虽然数据流中的很多操作一次只着眼于一个单独的事件（例如事件解析器），但有些操作会记住多个事件的信息（例如窗口算子）。
+这些操作称为**有状态的**（stateful）。
-Some examples of stateful operations:
+有状态操作的一些示例：
- - When an application searches for certain event patterns, the state will
- store the sequence of events encountered so far.
- - When aggregating events per minute/hour/day, the state holds the pending
- aggregates.
- - When training a machine learning model over a stream of data points, the
- state holds the current version of the model parameters.
- - When historic data needs to be managed, the state allows efficient access
- to events that occurred in the past.
+ - 当应用程序搜索某些事件模式时，状态将存储到目前为止遇到的事件序列。
Review comment:
感谢指正，这个地方翻译地确实拗口，里面有些信息不知道是否可以舍弃不翻，怕和原意不符。
下面还有一些翻译不太确定的地方，比如：
* 40行：` stream of data points ` 翻译成了 “状态点的流”
* `data flow` 、 `data stream` 、`stream of data` `data stream and flow`
都翻译成了 “数据流”
如你所说，很多关键词我也都翻译了，比如文档中场景的 event、 state、 checkpointing、
savepoint、Keyed等词语，不过一部分词语翻译后也在后面的括号里提供了英文对照。
你看还有哪些有问题，我最后再整体改一遍，再次感谢！
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